akash-r34 / Earthquake-prediction-using-Machine-learning-models

This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.

Date Created 2023-03-31 (about a year ago)

Commits 39 (last one about a year ago)

Stargazers 44 (0 this week)

Watchers 2 (0 this week)

Forks 12

License unknown

Ranking

RepositoryStats indexes 632,894 repositories, of these akash-r34/Earthquake-prediction-using-Machine-learning-models is ranked #524,387 (17th percentile) for total stargazers, and #481,419 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,406/19,051.

akash-r34/Earthquake-prediction-using-Machine-learning-models is also tagged with popular topics, for these it's ranked: data-visualization (#850/959), machine-learning-algorithms (#259/294), data-analytics (#120/144)

All Topics

tableau earthquakes data-analytics data-visualization earthquake-detection earthquake-prediction machine-learning-algorithms vellore-institute-of-technology

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

39 commits on the default branch (main) since jan '22

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No issues have been posted

Languages

The only known language in this repository is Jupyter Notebook

updated: 2025-03-23 @ 07:09pm, id: 621914876 / R_kgDOJRGq_A